Improved FAST corner-detection method

Abstract

An improved features from accelerated segment test (FAST) corner-detection method for suppressing SAR image speckle noise is proposed here. The direction of the corner candidate is first computed by the law of universal gravitation and is introduced into corner detection to divide the 16 pixels around the corner candidate into two groups without repeatedly searching. Then, the similarity between the corner candidate and its surrounding pixels is computed to suppress the points affected by SAR speckle noise. Finally, the phenomenon of corner density is eliminated based on non-maximum suppression. The experimental results show that authors’ method has better suppressing effect compared with FAST-8 and SIFT corner-detection methods.

Keywords

• synthetic aperture radar
• speckle
• feature extraction
• radar imaging
• edge detection
• image denoising
• image segmentation
• FAST corner-detection method
• accelerated segment test corner-detection method
• corner density
• nonmaximum suppression
• FAST-8
• SAR image speckle noise suppression
• point suppression